Senior Data Scientist - 9 month Fixed Term Contract

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimize and innovate.

We turn big ideas into products, content, and services that millions of people love.

And we do it all right here at Sky.

Introduction to the Data Science practice at Sky

Data science is crucial to decision-making at Sky, and impacts choices across marketing, customer interactions, and customer services. We are scaling up our data science practice to transform how we manage customers throughout all life cycles for both experience profitability. We have introduced intelligence into Sky, and it has already delivered value to the business. We gather a vast amount of data on customer behaviors and interactions, and we are looking for data scientists to extract value from our data assets and maximize customer value.

Job Description

• Responsible for creating actionable customer intelligence from our core data assets using advanced analytics, particularly in the areas of credit risk, customer retention and customer interactions
• Develop advanced analytics algorithms to exploit our rich data assets, including viewing behaviours and content engagement across multiple platforms (linear, on demand, streaming etc), online engagement with Sky digital (apps, website), customer service interactions, service quality and performance information and customer metrics
• Collaborate with key stakeholders (marketing, retention, credit risk, finance) to understand business objectives and support them with advanced analytics approaches
• Contribute in identifying the best analytical techniques, developing solutions, creating a framework for testing the solutions and measuring the incremental value to the business from the solution
• Collaborate with our technology teams and data engineers to build compliant, efficient and scalable solutions for managing customer treatments at Sky
• Strengthen our internal data science capabilities by continuously innovating and introducing new ideas, and by engaging in the training and development of our people
• Lead projects with 1-2 team members, plan tasks and delegate appropriately

Requirements

• Expertise in advanced analytical areas including, but not limited to, Predictive Modelling and Optimisation
• Experience in building and deploying advanced analytic solutions in a large scale (preferably B2C) cloud environment
• Ability to quickly understand a business objective, devise an analytical solution to the problem and effectively communicate with stakeholders
• Commercial acumen and understanding of data science to drive commercial value is a must – everything we do adds value to the business
• Experience in deploying commercially viable applications using deep learning techniques to combine structured and unstructured data is advantageous
• Experience in data engineering, data modelling for advanced analytics, data processing on cloud, model management and app deployment on cloud is advantageous

Skills

• Programming for modelling and/or data analysis in Python (essential)
• Experience with machine learning libraries such as scikit-learn, XGBoost, Keras, Tensorflow etc. (essential)
• Experience using SQL for data extraction, feature development etc. (essential)
• Experience creating machine learning pipelines including raw data, features, model building and testing (essential)
• Experience in Credit Risk modelling (desirable)
• Experience with Google Cloud Platform tools such as BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable)
• Experience deploying machine learning pipelines for real-world applications (useful)
• Experience with big data solutions e.g. Spark, Hadoop, MapReduce (useful)
• Other programming experience eg. SAS, C++, JavaScript (useful)

Analysis:

• Machine learning - Supervised/unsupervised learning, regression, neural networks, decision trees, random forests, boosting, SVM, clustering (essential)
• Deep learning – CNN, RCNN, LSTM, Autoencoder (desirable)
• NLP/Text mining – Bag of Words, text embedding, sentiment analysis (useful)
• Statistical modelling– GLM, Bayesian hierarchical models (useful)

Soft skills

• Excellent communication with both technical team members and non-technical stakeholders
• Ability to break down complex problems into manageable tasks
• Contribution to a collaborative and inclusive team culture

The rewards

What people can't stop talking about when it comes to LifeAtSky are the perks. Here’s a sneak peek:

• Sky Q, for all your favorite TV shows in one place

• The magic of Sky Glass at an exclusive rate

• A generous pension package

• Private healthcare

• Discounted mobile and broadband

• A wide range of Sky VIP rewards and experiences

Inclusion & how you'll work

Recognized by The Times and Stonewall, we take pride in our approach to diversity and inclusion. We invest in society, fight racial injustice, and set ambitious targets for representation at Sky.

We’ve embraced hybrid working, splitting our time between unique office spaces and the convenience of working from home. You’ll learn more about what hybrid working for your role looks like during the recruitment process.

Your office space: Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Alternatively, you can take one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway, and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can stay fit at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, or even get pampered at our beauty salon.

We'd love to hear from you

Inventive, forward-thinking minds work together in Tech, Product and Data at Sky. It’s a place where you can explore the realm of what if, how far, and what next.

But better doesn't stop at what we do. It's also about how we do it. We embrace diversity. We support our community. And we contribute to a more sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Please note: If your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you might have, we may have to withdraw the offer.